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A Semi-Supervised TCN-LSTM Model for Single Lead ECG Heartbeat Classification Cover

A Semi-Supervised TCN-LSTM Model for Single Lead ECG Heartbeat Classification

Cybernetics and Information Technologies
Volume 25 (2025): Issue 4 (December 2025)
By: Nitya N. Kulkarni,  G. S. Nagaraja,  B. G. Sudarshan and  M. Krishna  
Open Access
|Dec 2025

Authors

Nitya N. Kulkarni

nityank.phdcs@rvce.edu.in

Department of Computer Science and Engineering, Center for Healthcare Technologies Research, RV College of Engineering, Visvesvaraya Technological University, Belagavi, India

G. S. Nagaraja

nagarajags@rvce.edu.in

Department of Computer Science and Engineering, Center for Healthcare Technologies Research, RV College of Engineering, Visvesvaraya Technological University, Belagavi, India

B. G. Sudarshan

sudharshanbg@rvce.edu.in

Department of Electronics and Instrumentation Engineering, Center for Healthcare Technologies Research, RV College of Engineering, Visvesvaraya Technological University, Belagavi, India

M. Krishna

krishnam@rvce.edu.in

Department of Mechanical Engineering, Center for Healthcare Technologies Research, RV College of Engineering, Visvesvaraya Technological University, Belagavi, India
DOI: https://doi.org/10.2478/cait-2025-0042 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 229 - 248
Submitted on: Sep 21, 2025
Accepted on: Nov 17, 2025
Published on: Dec 11, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
ElectroCardioGram (ECG),
Heartbeat classification,
Temporal Convolutional Network (TCN),
Long Short-Term Memory (LSTM),
Semi-supervised learning
Related subjects:
Computer sciences,
Information technology

© 2025 Nitya N. Kulkarni, G. S. Nagaraja, B. G. Sudarshan, M. Krishna, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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